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Agentic AI DevOps Senior

1 hour, 10 minutes ago
Argentina
Full-time
Senior
AI Engineer
DevOps and Infrastructure
AWS Azure CI/CD Databricks dbt GCP Generative AI Kubernetes Linux LLM Python Terraform
Apply Now
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017
View All Jobs 20

Description

  • Design, develop, deploy, and maintain an enterprise-wide Agentic AI Developer Platform.
  • Implement and operate platform components, integrations, frameworks, and supporting infrastructure for scalable agentic AI solutions.
  • Collaborate with architects and technical stakeholders to turn platform designs into production-ready implementations.
  • Manage deployment automation, monitoring, troubleshooting, performance optimization, and operational support for the platform.
  • Evaluate, integrate, and customize AI platforms, orchestration tools, frameworks, and cloud-native services.
  • Create reusable abstractions, components, and development standards that improve consistency and speed up agent development.
  • Provide technical guidance and mentorship to junior and mid-level engineers.
  • Work autonomously on complex technical initiatives and own implementation, delivery, and operational excellence.
  • Partner with cross-functional teams to understand business requirements and improve platform scalability and developer productivity.
  • Contribute to documentation, operational procedures, and governance practices to support maintainability and adoption.

Requirements

  • 4+ years of experience in DevOps, Platform Engineering, SRE, Backend Engineering, or a similar infrastructure-focused role.
  • Strong hands-on experience with Kubernetes, including cluster administration, networking, deployments, and operational support.
  • Experience with Terraform and Infrastructure as Code (IaC) practices.
  • Experience designing, implementing, and maintaining CI/CD pipelines and deployment automation frameworks.
  • Solid understanding of Linux administration, containerization technologies, container registries, IAM, and RBAC concepts.
  • Knowledge of monitoring, observability, logging, and troubleshooting in Kubernetes environments.
  • Understanding of cloud-native architectures, platform operations, and production infrastructure best practices.
  • 1–2+ years of experience developing or maintaining solutions based on LLMs and AI agents.
  • Experience with frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.
  • Knowledge of prompt engineering, evaluation, and monitoring of GenAI applications.
  • Familiarity with observability tools such as LangSmith, LangFuse, or similar platforms.
  • Experience integrating AI agents with APIs, databases, and external tools.
  • Strong programming skills in Python.
  • Experience building, testing, and deploying AI-powered applications in production environments.
  • Understanding of RAG architectures and vector databases is a plus.
  • Experience working with cloud platforms such as AWS, GCP, or Azure is desirable.

Benefits

  • Remote-first culture with the ability to work from anywhere.
  • In-company English lessons.
  • Wellhub or sports club stipend.
  • Fully covered certifications for AWS, DBT, Google Cloud, Azure, and Databricks.
  • Food credits via Pedidos Ya.
  • Birthday off plus an extra vacation week.
  • Referral bonuses.
  • Annual team trip.

Interested in this position?

Apply directly on the company website

Apply Now

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